A comparative assessment of machine learning algorithms in the IoT-based network intrusion detection systems

Samantaray, Milan; Barik, Ram Chandra; Biswal, Anil Kumar

doi:10.1016/j.dajour.2024.100478

Decision Analytics Journal

2024

DOI: 10.1016/j.dajour.2024.100478

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A comparative assessment of machine learning algorithms in the IoT-based network intrusion detection systems

Milan Samantaray,

Ram Chandra Barik,

Anil Kumar Biswal

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Cited by 3 publications

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Multi-Class SVM & Random Forest Based Intrusion Detection Using UNSW-NB15 Dataset

Jose,

Mukherjee,

Saha

et al. 2024

2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)

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Multi-Class SVM & Random Forest Based Intrusion Detection Using UNSW-NB15 Dataset

Jose,

Mukherjee,

Saha

et al. 2024

2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)

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Smart Cyber Defense: Machine Learnig Powered Intrusion Detection in 802.11 Networks

Kaya,

Kucukates,

Demez

et al. 2024

2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP)

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Boosting Based IDS System for Local Network Intrusions

Canpolat,

Kilincer

2024

2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP)

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A comparative assessment of machine learning algorithms in the IoT-based network intrusion detection systems

Cited by 3 publications

References 32 publications

Multi-Class SVM & Random Forest Based Intrusion Detection Using UNSW-NB15 Dataset

Multi-Class SVM & Random Forest Based Intrusion Detection Using UNSW-NB15 Dataset

Smart Cyber Defense: Machine Learnig Powered Intrusion Detection in 802.11 Networks

Boosting Based IDS System for Local Network Intrusions

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